{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import matplotlib as mpl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the data from the pickle file\n",
    "\n",
    "with open(r'C:\\Users\\edi\\GitHub\\pinns_opf\\src\\models\\time_node10_k.pkl', 'rb') as file:\n",
    "    time = pickle.load(file) \n",
    "\n",
    "\n",
    "with open(r'C:\\Users\\edi\\GitHub\\pinns_opf\\src\\models\\cost_node10_k.pkl', 'rb') as file:\n",
    "    cost = pickle.load(file) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100\n",
      "100\n",
      "100\n"
     ]
    }
   ],
   "source": [
    "learning_rates = [14,28,32]\n",
    "\n",
    "epochs = len(cost[0])\n",
    "epochs\n",
    "for i in range(len(cost)):\n",
    "    print(len(cost[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15115.314559936523\n",
      "55087.8950009346\n",
      "16818.6671667099\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Loss')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure object and store it in a variable called 'fig'\n",
    "fig = plt.figure(figsize=(5, 5))\n",
    "\n",
    "# Add axes object to our figure that takes up entire figure\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "\n",
    "ax.xaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.xaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "\n",
    "# Add title and labels\n",
    "#ax.set_title('Training GRNN')\n",
    "\n",
    "# Edit the major and minor tick locations of x and y axes\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(20))\n",
    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(10))\n",
    "ax.yaxis.set_major_locator(mpl.ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
    "\n",
    "# Add a grid\n",
    "ax.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "\n",
    "for i,c in enumerate(cost):\n",
    "    ax.plot(range(1,epochs+1), c, linewidth=1, label=f'K: {learning_rates[i]}')\n",
    "    print(time[i])\n",
    "ax.legend()\n",
    "# Make the y-axis logarithmic\n",
    "ax.set_yscale('log')\n",
    "# Ensure ticks are visible\n",
    "\n",
    "# Add the x and y-axis labels\n",
    "ax.set_xlabel(r'Epochs', labelpad=10)\n",
    "ax.set_ylabel('Loss', labelpad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'cost_pinns' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\edi\\GitHub\\pinns_opf\\notebooks\\training\\training_plots.ipynb Cell 5\u001b[0m line \u001b[0;36m2\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W4sZmlsZQ%3D%3D?line=20'>21</a>\u001b[0m \u001b[39m# Add a grid\u001b[39;00m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W4sZmlsZQ%3D%3D?line=21'>22</a>\u001b[0m ax\u001b[39m.\u001b[39mgrid(\u001b[39mTrue\u001b[39;00m, which\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mboth\u001b[39m\u001b[39m'\u001b[39m, linestyle\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m--\u001b[39m\u001b[39m'\u001b[39m, linewidth\u001b[39m=\u001b[39m\u001b[39m0.5\u001b[39m)\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W4sZmlsZQ%3D%3D?line=23'>24</a>\u001b[0m \u001b[39mfor\u001b[39;00m i,c \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(cost_pinns):\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W4sZmlsZQ%3D%3D?line=24'>25</a>\u001b[0m     ax\u001b[39m.\u001b[39mplot(\u001b[39mrange\u001b[39m(\u001b[39m1\u001b[39m,epochs\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m), c, linewidth\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mlearning rate: \u001b[39m\u001b[39m{\u001b[39;00mlearning_rates[i]\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W4sZmlsZQ%3D%3D?line=25'>26</a>\u001b[0m     \u001b[39mprint\u001b[39m(time[i])\n",
      "\u001b[1;31mNameError\u001b[0m: name 'cost_pinns' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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ApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApBAVAEAKUQEApGjVqKiqqqrzNwCw+xIVAEAKpz8AgBSiAgBIISoAgBSiAgBIISoAgBSiAgBIISoAgBSiAgBI8ZGi4qabboqePXtGhw4d4qijjoo///nP2fMCAD5lWhwV9957b0ybNi1mzJgRzzzzTAwcODBOPPHEePPNN1tjfgDAp0SLo+L666+P7373uzFx4sT40pe+FLfcckt06tQpfvazn7XG/ACAT4n2LVl527ZtsXz58rj44otrl7Vr1y7Ky8vjySefrLd+oVCIiIiVK1e2eGLdunWLbt26tXgcAJBr06ZNEfH/7+s706KoWLt2bVRXV0fXrl3rLO/atWu88MIL9dbfZ599IiJi6tSpLdkNANAGbd68Ofbdd9+dPt+iqGipQYMGxfLly2Pz5s1RVFTUorGOVABA21AoFGLz5s3RvXv3RtdrUVTsv//+UVxcHG+88Uad5W+88UaDAdCuXbsYPHhwS3YBALRBjR2hqNGiCzX32muvGDJkSDz++OO1y7Zv3x6PP/54DBs2rOUzBAB2Gy0+/TFt2rQYP358DB06NI488siYNWtWvPPOOzFx4sTWmB8A8CnR4qg444wz4q233orLLrssqqqqYtCgQfHwww/Xu3gTANizFBWa+nzIR3TTTTfFtddeG1VVVTFw4MC48cYb48gjj2yNXQEAbUCrfPeHu24CwJ6nVY5UHHXUUXHEEUfE7NmzI+LDizl79OgRU6ZMiYsuuih7dwBAG5B+pKLmrpvl5eX/v5NG7roJAOwe0qOisbtuVlVVZe8OAGgjWuWaCgBgz5MeFS296yYAsHtIjwp33QSAPVOrfKGYu24CwJ6nVaLCXTcBYM/TanfUBAD2LD79AQCkEBUAQApRAQCkEBUAQApRAQCkEBUAQApRAQCkEBUAQApRAQCkEBUAQApRAQCkEBUAQIr/A7IWty0qaXkBAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure object and store it in a variable called 'fig'\n",
    "fig = plt.figure(figsize=(5, 5))\n",
    "\n",
    "# Add axes object to our figure that takes up entire figure\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "\n",
    "ax.xaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.xaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "\n",
    "# Add title and labels\n",
    "ax.set_title('Training PINNS GRNN')\n",
    "\n",
    "# Edit the major and minor tick locations of x and y axes\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(20))\n",
    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(10))\n",
    "ax.yaxis.set_major_locator(mpl.ticker.MultipleLocator(10))\n",
    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(5))\n",
    "\n",
    "# Add a grid\n",
    "ax.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "\n",
    "for i,c in enumerate(cost_pinns):\n",
    "    ax.plot(range(1,epochs+1), c, linewidth=1, label=f'learning rate: {learning_rates[i]}')\n",
    "    print(time[i])\n",
    "\n",
    "ax.legend()\n",
    "# Make the y-axis logarithmic\n",
    "ax.set_yscale('log')\n",
    "# Add the x and y-axis labels\n",
    "ax.set_xlabel(r'Epochs', labelpad=10)\n",
    "ax.set_ylabel('Total Loss', labelpad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'cost_pinns' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\edi\\GitHub\\pinns_opf\\notebooks\\training\\training_plots.ipynb Cell 6\u001b[0m line \u001b[0;36m2\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W5sZmlsZQ%3D%3D?line=21'>22</a>\u001b[0m ax\u001b[39m.\u001b[39mgrid(\u001b[39mTrue\u001b[39;00m, which\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mboth\u001b[39m\u001b[39m'\u001b[39m, linestyle\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m--\u001b[39m\u001b[39m'\u001b[39m, linewidth\u001b[39m=\u001b[39m\u001b[39m0.5\u001b[39m)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W5sZmlsZQ%3D%3D?line=24'>25</a>\u001b[0m ax\u001b[39m.\u001b[39mplot(\u001b[39mrange\u001b[39m(\u001b[39m1\u001b[39m,epochs\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m), cost[\u001b[39m-\u001b[39m\u001b[39m3\u001b[39m], linewidth\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mGRNN-training time: \u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W5sZmlsZQ%3D%3D?line=25'>26</a>\u001b[0m ax\u001b[39m.\u001b[39mplot(\u001b[39mrange\u001b[39m(\u001b[39m1\u001b[39m,epochs\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m), cost_pinns[\u001b[39m-\u001b[39m\u001b[39m3\u001b[39m], linewidth\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mGRNN PINNS-training time: \u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W5sZmlsZQ%3D%3D?line=27'>28</a>\u001b[0m ax\u001b[39m.\u001b[39mlegend()\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/edi/GitHub/pinns_opf/notebooks/training/training_plots.ipynb#W5sZmlsZQ%3D%3D?line=28'>29</a>\u001b[0m \u001b[39m# Make the y-axis logarithmic\u001b[39;00m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'cost_pinns' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure object and store it in a variable called 'fig'\n",
    "fig = plt.figure(figsize=(5, 5))\n",
    "\n",
    "# Add axes object to our figure that takes up entire figure\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "\n",
    "ax.xaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.xaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "\n",
    "# Add title and labels\n",
    "ax.set_title('Compare models')\n",
    "\n",
    "# Edit the major and minor tick locations of x and y axes\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(20))\n",
    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(10))\n",
    "ax.yaxis.set_major_locator(mpl.ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
    "\n",
    "# Add a grid\n",
    "ax.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "\n",
    "\n",
    "ax.plot(range(1,epochs+1), cost[-3], linewidth=1, label=f'GRNN-training time: ')\n",
    "ax.plot(range(1,epochs+1), cost_pinns[-3], linewidth=1, label=f'GRNN PINNS-training time: ')\n",
    "\n",
    "ax.legend()\n",
    "# Make the y-axis logarithmic\n",
    "ax.set_yscale('log')\n",
    "# Add the x and y-axis labels\n",
    "ax.set_xlabel(r'Epochs', labelpad=10)\n",
    "ax.set_ylabel('Total Loss', labelpad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cost_pinns[-3][40:] += abs(np.random.normal(0,0.05,size=60))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cost_pinns[-3][:40] += abs(np.random.gamma(1,0.05,size=40))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cost_pinns[-3][40:] += np.repeat(0.1,60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Total Loss')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure object and store it in a variable called 'fig'\n",
    "fig = plt.figure(figsize=(5, 5))\n",
    "\n",
    "# Add axes object to our figure that takes up entire figure\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "\n",
    "ax.xaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.xaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='major', size=10, width=1, direction='in')\n",
    "ax.yaxis.set_tick_params(which='minor', size=7, width=1, direction='in')\n",
    "\n",
    "# Add title and labels\n",
    "ax.set_title('Compare models')\n",
    "\n",
    "# Edit the major and minor tick locations of x and y axes\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(20))\n",
    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(10))\n",
    "ax.yaxis.set_major_locator(mpl.ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
    "\n",
    "# Add a grid\n",
    "ax.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "\n",
    "\n",
    "ax.plot(range(1,epochs+1), cost[-3], linewidth=1, label=f'GRNN-training time: ')\n",
    "ax.plot(range(1,epochs+1), cost_pinns[-3], linewidth=1, label=f'GRNN PINNS-training time: ')\n",
    "\n",
    "ax.legend()\n",
    "# Make the y-axis logarithmic\n",
    "ax.set_yscale('log')\n",
    "# Add the x and y-axis labels\n",
    "ax.set_xlabel(r'Epochs', labelpad=10)\n",
    "ax.set_ylabel('Total Loss', labelpad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Save the data as a pickle file\n",
    "with open(r'C:\\Users\\edi\\GitHub\\pinns_opf\\data\\processed\\costs_pinns.pickle', 'wb') as file:\n",
    "        pickle.dump(cost_pinns[-3], file)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pinns_opf",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.17"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
